Stochastic Equipment Selection

Stochastic Equipment Selection is an optimization framework within equipment selection that incorporates probabilistic models to account for uncertainty in equipment performance, availability, or operational conditions, thereby enabling robust decision-making under variability.

4

Publications

126

Citations

14

Authors

8

Institutions

Publications per year

2017–2026

1

Authors

14

  1. GM
    G. Manassero

    Ferrari (Italy), Italy

    1 publications · 41 citations

    1

    h-index

  2. SG
    Shiping Geng

    North China Electric Power University, China

    1 publications · 16 citations

    1

    h-index

  3. QS
    Quirico Semeraro

    Politecnico di Milano, Italy

    1 publications · 41 citations

    1

    h-index

  4. AL
    Armin Lüer‐Villagra

    Universidad Andrés Bello, Chile

    1 publications · 10 citations

    1

    h-index

  5. AB
    Abdulla Bader Danok

    University of Sulaimani, Iraq

    1 publications · 59 citations

    1

    h-index

1–5 of 14

Venues

  1. CIRP Annals

    1 publications · 41 citations

    1

    h-index

  2. 1

    h-index

  3. American Journal of Agricultural Economics

    1 publications · 59 citations

    1

    h-index

  4. Journal of Cleaner Production

    1 publications · 16 citations

    1

    h-index

1–4